Triple

T11739214
Position Surface form Disambiguated ID Type / Status
Subject Athens metropolitan area E279108 entity
Predicate hasPart P35 FINISHED
Object Peristeri E282706 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Peristeri | Statement: [Athens metropolitan area, hasPart, Peristeri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peristeri
Context triple: [Athens metropolitan area, hasPart, Peristeri]
  • A. Peristeri chosen
    Peristeri is a densely populated suburban municipality of Athens, Greece, known as one of the largest and most vibrant districts in the Athens metropolitan area.
  • B. Aigina
    Aigina is the ancient Greek name for the island of Aegina in the Saronic Gulf, known historically as a significant maritime and commercial center.
  • C. Psamathe
    Psamathe is a Nereid (sea nymph) in Greek mythology, known as a daughter of the sea god Nereus and the mother of the hero Phocus.
  • D. Myrina
    Myrina is the main town and administrative center of the Greek island of Lemnos in the northern Aegean Sea.
  • E. Myrina
    Myrina is a legendary Amazon queen in Greek mythology, famed for leading military campaigns and expanding Amazon influence across parts of Africa and Asia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4ef1c4881909ad36dc27b1fe193 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019c339cc81909967ecfa234e4ab8 completed April 28, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:41 p.m.